AI/ML Engineer

About the role

Senior AI/ML Developer

**Experience:** 8–10 Years (Relevant AI/ML Experience) **Employment Type:** Full\-Time

Job Summary

We are seeking an experienced **Senior AI/ML Developer** to design, develop, and deploy enterprise\-grade Artificial Intelligence and Machine Learning solutions. The ideal candidate will have strong expertise in Machine Learning, Generative AI, Large Language Models (LLMs), and cloud\-native technologies. You will work closely with cross\-functional teams to build scalable AI applications, automate intelligent workflows, and deliver production\-ready AI solutions across the complete software development lifecycle.

Key ResponsibilitiesAI/ML Solution Development

* Design, develop, and deploy scalable AI/ML models and applications for enterprise use cases. * Build production\-ready machine learning pipelines and AI\-powered software solutions. * Develop innovative solutions using Generative AI, Large Language Models (LLMs), and advanced machine learning techniques. * Optimize model performance, scalability, and reliability for real\-world applications.

Generative AI \& Large Language Models

* Develop applications using OpenAI, Claude, Gemini, LangChain, AI Agents, RAG (Retrieval\-Augmented Generation), and Vector Databases. * Implement prompt engineering, model fine\-tuning, and intelligent automation solutions. * Build AI\-powered conversational systems, recommendation engines, and content generation workflows.

Machine Learning \& Data Science

* Apply machine learning techniques including deep learning, NLP, NLU, computer vision, semantic understanding, intent classification, and speech recognition. * Design and evaluate ML models using statistical analysis, experimentation, and optimization techniques. * Develop data pipelines and support large\-scale data processing for AI applications.

Cloud \& MLOps

* Deploy AI/ML solutions on AWS, Azure, or Google Cloud Platform (GCP). * Build automated CI/CD pipelines using Git, Jenkins, Docker, and Kubernetes. * Implement MLOps best practices for model deployment, monitoring, and lifecycle management. * Collaborate with engineering teams to ensure secure, scalable, and reliable AI deployments.

Collaboration \& Innovation

* Work closely with product, engineering, and business teams to identify AI opportunities. * Support Agile development practices and continuous product delivery. * Research emerging AI technologies and recommend innovative solutions. * Promote AI/ML best practices, governance, and responsible AI development.

Required Skills

* 8–10 years of relevant experience in AI/ML Engineering. * Strong programming skills in **Python** and AI/ML application development. * Hands\-on experience with **OpenAI, Claude, Gemini, LangChain, AI Agents, RAG, Vector Databases, Prompt Engineering, and LLMs**. * Experience with **TensorFlow, PyTorch, Keras, Scikit\-learn, and MLflow**. * Strong understanding of Deep Learning, NLP, NLU, Computer Vision, Reinforcement Learning, and Machine Learning algorithms. * Experience with **AWS, Azure, or Google Cloud Platform (GCP)**. * Hands\-on knowledge of **Git, Jenkins, Docker, Kubernetes, and CI/CD pipelines**. * Strong understanding of software engineering principles, Agile methodologies, and DevSecOps practices. * Excellent analytical, problem\-solving, and communication skills.

Preferred Qualifications

* Master's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field. * Experience developing enterprise\-scale AI/ML products and production\-ready AI solutions. * Experience working with distributed, cross\-functional, and global teams. * Knowledge of AI governance, ethics, and best practices. * Experience in marketing technology, content intelligence, or recommendation systems is an added advantage.

If you're passionate about building cutting\-edge AI solutions and driving innovation through Machine Learning and Generative AI, we'd love to hear from you.

Work Location: Hybrid remote in Noida, Uttar Pradesh (Noida)